Learn the core concepts behind Artificial Intelligence and understand how modern AI systems work. This course introduces Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, Computer Vision, and Generative AI through practical examples and real-world business use cases.
Students will build a strong technical foundation before moving into advanced AI topics. 
Learning Outcomes
- Understand Artificial Intelligence architecture
- Learn Machine Learning lifecycle
- Explore Neural Networks
- Understand Deep Learning
- Introduction to Large Language Models
- AI ethics and responsible AI
- Build simple AI applications
- AI deployment fundamentals
Curriculum
- 4 Sections
- 21 Lessons
- 6 Weeks
Expand all sectionsCollapse all sections
- Introduction to Artificial IntelligenceArtificial Intelligence (AI) is one of the most transformative technologies of the 21st century. From voice assistants and recommendation systems to autonomous vehicles and advanced language models, AI is reshaping the way we live, work, and solve complex problems.7
- Mathematics & Data FundamentalsThis module gives learners the essential mathematical and data concepts needed to understand Machine Learning and AI. It is designed for beginners—no advanced math background required.6
- Machine Learning FundamentalsLearn the core concepts of Machine Learning, understand different types of learning algorithms, prepare data for ML models, train your first model, and evaluate its performance.6
- Deep Learning & Neural Networks6
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